Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "183" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 55 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 53 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459870 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 23.167348 | -0.040993 | 43.964403 | 3.536003 | 10.658569 | 0.602386 | 2.585898 | 2.349782 | 0.0450 | 0.6908 | 0.4901 | nan | nan |
| 2459869 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 19.767425 | -1.253357 | 46.603901 | 0.266674 | 15.682881 | -0.652262 | 4.626785 | -0.338105 | 0.0414 | 0.7097 | 0.5056 | nan | nan |
| 2459868 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 21.115458 | -0.133576 | 66.394147 | 6.392803 | 10.778689 | -0.791185 | 0.870762 | -0.434550 | 0.0410 | 0.6823 | 0.5003 | nan | nan |
| 2459867 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 14.681142 | -0.183130 | 52.093857 | 4.971484 | 5.722437 | -0.533542 | 0.585484 | -0.307339 | 0.0419 | 0.6892 | 0.4992 | nan | nan |
| 2459866 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 17.223293 | -0.144885 | 52.127494 | 0.690999 | 6.542939 | 1.690191 | 3.280711 | 2.392643 | 0.0444 | 0.6868 | 0.4846 | nan | nan |
| 2459865 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 18.958346 | 0.263651 | 63.165988 | -1.052111 | 15.520363 | 1.064084 | 14.270055 | -0.411798 | 0.0356 | 0.7039 | 0.4538 | nan | nan |
| 2459864 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 23.124284 | 1.083482 | 25.238556 | 3.499720 | 8.160104 | -0.593061 | 1.948027 | 1.581800 | 0.0358 | 0.6703 | 0.4817 | nan | nan |
| 2459863 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 13.690211 | -0.252252 | 7.455495 | 0.814627 | 2.939530 | 1.464733 | 0.097565 | -0.168987 | 0.0369 | 0.6654 | 0.4906 | nan | nan |
| 2459862 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 13.545006 | 0.950229 | 26.867568 | 1.646087 | 12.526914 | -0.046997 | 0.536732 | 0.000882 | 0.0408 | 0.6734 | 0.4670 | nan | nan |
| 2459861 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 10.430799 | -0.589683 | 7.556497 | 1.068992 | 2.540944 | 0.352760 | -0.183009 | 0.656058 | 0.0370 | 0.6620 | 0.4471 | nan | nan |
| 2459860 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 11.668177 | -0.148165 | 24.266412 | 3.207300 | 14.617965 | -0.004713 | 0.514164 | 1.154223 | 0.0339 | 0.6705 | 0.4756 | nan | nan |
| 2459859 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 9.535096 | -0.432832 | 8.210529 | 1.225598 | 2.214556 | 0.249476 | -0.227366 | 0.467777 | 0.0376 | 0.6814 | 0.4888 | nan | nan |
| 2459858 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.550390 | -0.609873 | 9.043277 | 1.798838 | 2.178138 | 1.135710 | 0.024910 | 0.636988 | 0.0359 | 0.6797 | 0.4799 | 1.238005 | 2.704052 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 6.131721 | 0.135439 | 1.278378 | 0.289329 | 1.401841 | 0.311650 | 0.444115 | 1.650386 | 0.0281 | 0.0267 | 0.0008 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.424039 | -0.523729 | 0.896956 | -0.723490 | -0.220396 | -0.385233 | 1.612879 | 8.019586 | 0.7228 | 0.7021 | 0.3895 | 3.311232 | 2.655266 |
| 2459855 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.58% | 0.00% | -2.218351 | -0.550187 | 1.030607 | -0.894413 | 0.089293 | 0.181099 | 0.114154 | 3.012090 | 0.7150 | 0.7213 | 0.4225 | 1.719230 | 1.456196 |
| 2459854 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -2.465584 | -0.635808 | 0.319289 | -0.870724 | -0.833439 | -0.299512 | -0.094941 | 5.397998 | 0.7293 | 0.7462 | 0.4329 | 3.187202 | 2.710274 |
| 2459853 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.935023 | -1.000174 | -0.873257 | 1.316501 | -0.268385 | -0.253502 | -0.242973 | 6.552273 | 0.7512 | 0.6961 | 0.4177 | 3.493496 | 3.161960 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 0.00% | -1.501468 | -0.979703 | 0.744896 | -0.225308 | -0.891424 | 0.035625 | 0.118449 | -0.315587 | 0.8313 | 0.8316 | 0.2461 | 2.952138 | 2.848516 |
| 2459851 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.76% | 0.00% | -1.586274 | -1.327852 | 0.703229 | -0.499507 | -0.827660 | -1.455977 | -0.392203 | 1.796157 | 0.7652 | 0.7379 | 0.3428 | 1.672838 | 1.491563 |
| 2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 1.17% | 100.00% | 0.00% | -1.915295 | -1.545327 | 0.485322 | -0.936581 | -0.428376 | -0.694806 | -0.352728 | 7.614927 | 0.7548 | 0.7600 | 0.3473 | 3.514836 | 2.848218 |
| 2459849 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.805811 | -1.644671 | 0.981046 | -0.271836 | -1.173458 | 0.273355 | -0.137454 | 10.909495 | 0.7534 | 0.7522 | 0.3525 | 4.133484 | 3.574541 |
| 2459848 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 30.15% | 0.00% | -0.812881 | -1.155285 | -0.681756 | 0.343624 | -0.728591 | -1.298921 | -0.233488 | 3.119481 | 0.7300 | 0.7516 | 0.3737 | 1.581624 | 1.417991 |
| 2459847 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.688093 | -1.264695 | -0.402692 | 0.177079 | -0.478065 | 0.899601 | 0.358630 | 4.603385 | 0.7346 | 0.6869 | 0.4273 | 6.265080 | 4.879996 |
| 2459845 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.329805 | -0.871866 | -0.465115 | 0.352671 | -0.592790 | -0.373656 | 0.012475 | 10.727753 | 0.7261 | 0.7334 | 0.3931 | 5.509934 | 3.392134 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.016177 | -0.232392 | -1.122062 | -0.695566 | -0.961724 | 0.614488 | -1.177429 | 2.217401 | 0.0288 | 0.0267 | 0.0011 | nan | nan |
| 2459843 | digital_ok | 100.00% | 1.20% | 0.66% | 0.00% | 100.00% | 0.00% | -2.023155 | -1.138835 | -0.600830 | 0.350546 | -0.403051 | 0.341672 | 0.488146 | 7.047187 | 0.7384 | 0.7351 | 0.4023 | 4.583887 | 3.724865 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.106159 | -1.021605 | 0.383548 | 1.061949 | -0.025704 | 0.495249 | -0.061532 | 3.459180 | 0.7526 | 0.6685 | 0.2632 | 2.144530 | 1.908931 |
| 2459841 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.273211 | -0.154469 | -0.768242 | -0.126339 | -0.893858 | 9.927047 | 0.562156 | 3.899261 | 0.0282 | 0.0261 | 0.0012 | nan | nan |
| 2459839 | digital_ok | 0.00% | - | - | - | - | - | 0.451605 | 0.761948 | -1.000485 | -0.678438 | -0.344211 | 0.069952 | -1.358151 | -0.422129 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.929213 | -1.186699 | -0.353923 | 0.506001 | -1.972702 | 0.819812 | -0.651481 | 4.676351 | 0.7565 | 0.7121 | 0.4027 | 5.349862 | 4.566806 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0439 | 0.0408 | 0.0026 | nan | nan |
| 2459835 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.232870 | -1.076867 | -0.980618 | -0.495800 | -1.088467 | -0.235400 | -0.975306 | 4.533834 | 0.0462 | 0.0408 | 0.0035 | nan | nan |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.590195 | 0.316676 | -0.227127 | -0.782934 | -1.078028 | 1.098381 | -0.798418 | 1.961924 | 0.0466 | 0.0369 | 0.0034 | nan | nan |
| 2459832 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -2.821035 | -1.728960 | -0.073893 | -1.100906 | -0.660366 | 0.952570 | -0.419867 | 2.805222 | 0.8091 | 0.5436 | 0.5853 | 1.686092 | 1.630084 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.344725 | 0.852576 | -0.896208 | -0.554710 | 0.072933 | 0.634741 | -0.893799 | -0.145379 | 0.0443 | 0.0466 | 0.0076 | nan | nan |
| 2459830 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -2.021469 | -1.693142 | 0.007976 | -1.229981 | -1.072348 | -1.289981 | -0.237947 | 9.568394 | 0.8082 | 0.5560 | 0.5714 | 4.938200 | 4.322453 |
| 2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -2.431303 | -1.314014 | 0.185752 | -0.837149 | -1.244915 | -0.642100 | 0.136268 | 25.845549 | 0.7605 | 0.6771 | 0.4166 | 13.242711 | 15.844296 |
| 2459828 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.774300 | -0.876580 | -0.050787 | -0.497521 | -1.256601 | -0.517279 | 0.092835 | 19.697754 | 0.8067 | 0.5633 | 0.5553 | 0.000000 | 0.000000 |
| 2459827 | digital_ok | 100.00% | 0.00% | 6.44% | 0.00% | 100.00% | 0.00% | -1.538437 | -1.573049 | 0.059626 | 2.320213 | -0.969709 | 64.847440 | 1.002440 | 9.291013 | 0.7677 | 0.6383 | 0.4301 | 0.000000 | 0.000000 |
| 2459826 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.407114 | -1.012496 | 0.144734 | -0.799066 | -1.741055 | -1.714453 | -0.159423 | 7.549377 | 0.8043 | 0.5809 | 0.5224 | 0.000000 | 0.000000 |
| 2459825 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459824 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459823 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.221236 | -1.128744 | 0.279870 | -0.735390 | -0.245109 | -1.729318 | 0.001491 | 3.940904 | 0.7714 | 0.6458 | 0.4684 | 2.910879 | 2.986532 |
| 2459822 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.244827 | -0.546189 | 0.230198 | -0.936262 | -1.137358 | -1.545698 | 0.396058 | 1.996917 | 0.8087 | 0.6191 | 0.5138 | 1.955139 | 1.688442 |
| 2459821 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.393833 | -0.620448 | 0.292975 | -0.971366 | -1.395605 | -1.351023 | -0.020465 | 0.390877 | 0.7988 | 0.6259 | 0.5147 | 2.126823 | 1.903308 |
| 2459820 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -2.088085 | -0.999056 | -0.119178 | -0.988501 | -2.556159 | 0.123182 | -0.246443 | 10.618753 | 0.7780 | 0.6811 | 0.4244 | 5.345036 | 5.236422 |
| 2459817 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.814479 | -0.904268 | 0.123860 | -0.981662 | -1.073514 | -2.005627 | -0.513607 | 0.074119 | 0.8030 | 0.6530 | 0.5067 | 2.090144 | 1.832576 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.551872 | -0.665158 | 0.446322 | -1.200663 | -0.507514 | -1.386035 | -0.463899 | 3.877739 | 0.8430 | 0.6038 | 0.5925 | 1.827392 | 1.626584 |
| 2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.689415 | -0.966766 | 0.222064 | -1.070037 | -0.679495 | -2.256553 | -0.456369 | 2.438038 | 0.7957 | 0.6666 | 0.5174 | 2.074439 | 1.942595 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 43.964403 | 23.167348 | -0.040993 | 43.964403 | 3.536003 | 10.658569 | 0.602386 | 2.585898 | 2.349782 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 46.603901 | 19.767425 | -1.253357 | 46.603901 | 0.266674 | 15.682881 | -0.652262 | 4.626785 | -0.338105 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 66.394147 | 21.115458 | -0.133576 | 66.394147 | 6.392803 | 10.778689 | -0.791185 | 0.870762 | -0.434550 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 52.093857 | 14.681142 | -0.183130 | 52.093857 | 4.971484 | 5.722437 | -0.533542 | 0.585484 | -0.307339 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 52.127494 | -0.144885 | 17.223293 | 0.690999 | 52.127494 | 1.690191 | 6.542939 | 2.392643 | 3.280711 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 63.165988 | 18.958346 | 0.263651 | 63.165988 | -1.052111 | 15.520363 | 1.064084 | 14.270055 | -0.411798 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 25.238556 | 1.083482 | 23.124284 | 3.499720 | 25.238556 | -0.593061 | 8.160104 | 1.581800 | 1.948027 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Shape | 13.690211 | 13.690211 | -0.252252 | 7.455495 | 0.814627 | 2.939530 | 1.464733 | 0.097565 | -0.168987 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 26.867568 | 13.545006 | 0.950229 | 26.867568 | 1.646087 | 12.526914 | -0.046997 | 0.536732 | 0.000882 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Shape | 10.430799 | -0.589683 | 10.430799 | 1.068992 | 7.556497 | 0.352760 | 2.540944 | 0.656058 | -0.183009 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 24.266412 | 11.668177 | -0.148165 | 24.266412 | 3.207300 | 14.617965 | -0.004713 | 0.514164 | 1.154223 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Shape | 9.535096 | 9.535096 | -0.432832 | 8.210529 | 1.225598 | 2.214556 | 0.249476 | -0.227366 | 0.467777 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Shape | 10.550390 | -0.609873 | 10.550390 | 1.798838 | 9.043277 | 1.135710 | 2.178138 | 0.636988 | 0.024910 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Shape | 6.131721 | 0.135439 | 6.131721 | 0.289329 | 1.278378 | 0.311650 | 1.401841 | 1.650386 | 0.444115 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 8.019586 | -1.424039 | -0.523729 | 0.896956 | -0.723490 | -0.220396 | -0.385233 | 1.612879 | 8.019586 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 3.012090 | -0.550187 | -2.218351 | -0.894413 | 1.030607 | 0.181099 | 0.089293 | 3.012090 | 0.114154 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 5.397998 | -0.635808 | -2.465584 | -0.870724 | 0.319289 | -0.299512 | -0.833439 | 5.397998 | -0.094941 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 6.552273 | -1.000174 | -1.935023 | 1.316501 | -0.873257 | -0.253502 | -0.268385 | 6.552273 | -0.242973 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 0.744896 | -1.501468 | -0.979703 | 0.744896 | -0.225308 | -0.891424 | 0.035625 | 0.118449 | -0.315587 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 1.796157 | -1.586274 | -1.327852 | 0.703229 | -0.499507 | -0.827660 | -1.455977 | -0.392203 | 1.796157 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 7.614927 | -1.915295 | -1.545327 | 0.485322 | -0.936581 | -0.428376 | -0.694806 | -0.352728 | 7.614927 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 10.909495 | -1.805811 | -1.644671 | 0.981046 | -0.271836 | -1.173458 | 0.273355 | -0.137454 | 10.909495 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 3.119481 | -1.155285 | -0.812881 | 0.343624 | -0.681756 | -1.298921 | -0.728591 | 3.119481 | -0.233488 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 4.603385 | -1.264695 | -1.688093 | 0.177079 | -0.402692 | 0.899601 | -0.478065 | 4.603385 | 0.358630 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 10.727753 | -0.871866 | -1.329805 | 0.352671 | -0.465115 | -0.373656 | -0.592790 | 10.727753 | 0.012475 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 2.217401 | -1.016177 | -0.232392 | -1.122062 | -0.695566 | -0.961724 | 0.614488 | -1.177429 | 2.217401 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 7.047187 | -1.138835 | -2.023155 | 0.350546 | -0.600830 | 0.341672 | -0.403051 | 7.047187 | 0.488146 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 3.459180 | -1.106159 | -1.021605 | 0.383548 | 1.061949 | -0.025704 | 0.495249 | -0.061532 | 3.459180 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Variability | 9.927047 | -0.273211 | -0.154469 | -0.768242 | -0.126339 | -0.893858 | 9.927047 | 0.562156 | 3.899261 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Shape | 0.761948 | 0.761948 | 0.451605 | -0.678438 | -1.000485 | 0.069952 | -0.344211 | -0.422129 | -1.358151 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 4.676351 | -1.186699 | -1.929213 | 0.506001 | -0.353923 | 0.819812 | -1.972702 | 4.676351 | -0.651481 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 4.533834 | -1.076867 | -0.232870 | -0.495800 | -0.980618 | -0.235400 | -1.088467 | 4.533834 | -0.975306 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 1.961924 | 0.316676 | -0.590195 | -0.782934 | -0.227127 | 1.098381 | -1.078028 | 1.961924 | -0.798418 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 2.805222 | -2.821035 | -1.728960 | -0.073893 | -1.100906 | -0.660366 | 0.952570 | -0.419867 | 2.805222 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Shape | 0.852576 | 0.344725 | 0.852576 | -0.896208 | -0.554710 | 0.072933 | 0.634741 | -0.893799 | -0.145379 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 9.568394 | -2.021469 | -1.693142 | 0.007976 | -1.229981 | -1.072348 | -1.289981 | -0.237947 | 9.568394 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 25.845549 | -1.314014 | -2.431303 | -0.837149 | 0.185752 | -0.642100 | -1.244915 | 25.845549 | 0.136268 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 19.697754 | -0.876580 | -1.774300 | -0.497521 | -0.050787 | -0.517279 | -1.256601 | 19.697754 | 0.092835 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Variability | 64.847440 | -1.538437 | -1.573049 | 0.059626 | 2.320213 | -0.969709 | 64.847440 | 1.002440 | 9.291013 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 7.549377 | -1.012496 | -1.407114 | -0.799066 | 0.144734 | -1.714453 | -1.741055 | 7.549377 | -0.159423 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 3.940904 | -1.128744 | -1.221236 | -0.735390 | 0.279870 | -1.729318 | -0.245109 | 3.940904 | 0.001491 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 1.996917 | -1.244827 | -0.546189 | 0.230198 | -0.936262 | -1.137358 | -1.545698 | 0.396058 | 1.996917 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 0.390877 | -0.620448 | -1.393833 | -0.971366 | 0.292975 | -1.351023 | -1.395605 | 0.390877 | -0.020465 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 10.618753 | -2.088085 | -0.999056 | -0.119178 | -0.988501 | -2.556159 | 0.123182 | -0.246443 | 10.618753 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | ee Power | 0.123860 | -1.814479 | -0.904268 | 0.123860 | -0.981662 | -1.073514 | -2.005627 | -0.513607 | 0.074119 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 3.877739 | -0.665158 | -1.551872 | -1.200663 | 0.446322 | -1.386035 | -0.507514 | 3.877739 | -0.463899 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Temporal Discontinuties | 2.438038 | -0.966766 | -1.689415 | -1.070037 | 0.222064 | -2.256553 | -0.679495 | 2.438038 | -0.456369 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 183 | N13 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |